Data Intelligence Lab

HUFS

Research Areas

Assessment Framework and Methodology

System-based outcome evaluation and causality-based behavior assessment for model robustness and explainability

Advanced Generative Systems

Knowledge-enhanced generation techniques and foundation model development

Multimodal Large Language Models

Multimodal large language models and their applications

Research Highlight

Recent News

May 2026 One paper got accepted in ICML 2026.

TextME: Bridging Unseen Modalities Through Text Descriptions

Feb 2026 New preprint released on arXiv.

Overthinking Loops in Agents: A Structural Risk via MCP Tools

Jan 2026 DILAB Homepage Created

Welcome to the new Data Intelligence Lab homepage.

Aug 2025 Two papers got accepted in CIKM 2025.

Towards Fully-Automated Materials Discovery via Large-Scale Synthesis Dataset and Expert-Level LLM-as-a-Judge

Rethinking the Training Paradigm of Discrete Token-Based Multimodal LLMs: An Analysis of Text-Centric Bias

Jun 2025 One paper got accepted in TACL and will be presented at EMNLP 2025.

Overcoming Source Object Grounding for Semantic Image Editing